Microsoft-Decision-1 — Microsoft's Calibrated Decision-Scoring AI Model

Microsoft's Microsoft-Decision-1 is a specialized decision-scoring model for engineering teams building routing, classification, and verification logic into their AI systems. Announced on October 9, 2026, it returns calibrated scores for a fixed set of choices rather than generating free-form text, which makes it predictable to drop into production pipelines. It targets teams that already run model routers and want a cheaper, faster scoring step than a full LLM call.

Core Features

  • Produces calibrated scores across a fixed list of options for routing and classification tasks.
  • Supports prioritization, where it ranks candidates by a learned preference signal.
  • Handles verification-style checks that confirm whether an output meets a rule.
  • Available through Microsoft Foundry and OpenRouter, so it slots into existing model routers.
  • Designed for low-latency scoring rather than long-form generation.

Use Cases

  • Agent platforms that need to route a request to the right sub-model or tool.
  • Triage systems that prioritize support tickets or leads by urgency.
  • Quality gates that verify whether a generated answer should be released.

Pricing

Priced as a hosted inference model on Microsoft Foundry and OpenRouter; exact per-token rates follow each platform's model pricing. There is no standalone free tier beyond platform trial credits.

Our Take

Best for builders who want a dependable scoring layer instead of prompting a general LLM to decide; the trade-off is that it is narrow by design and not a substitute for a reasoning model. See related models in our AI Engine/Model category.

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